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a. Obtain a point estimate for the mean tax efficiency of all mutual fund portfolios with \(6%\) of their investments in energy securities.

b. Determine a \(95%\) confidence interval for the mean tax efficiency of all mutual fund portfolios with \(6%\) of their investments in energy securities.

c. Find the predicted tax efficiency of a mutual fund portfolio with \(6%\) of its investments in energy securities.

d. Determine a \(95%\) prediction interval for the tax efficiency of a mutual fund portfolio with \(6%\)of its investments in energy securities.

Short Answer

Expert verified

Part a. The conditional mean of the response variable corresponding to the predictor variable \(x=3\) is \(2\)

Part b. The \(95%\) confidence interval for the conditional mean is \(-0.013\) to \(4.013\)

Part c. The predicted value of the response variable corresponding to the predictor variable \(x=3\) is \(2\).

Part d. The \(95%\) prediction interval for the conditional mean is \(-2.930\) to \(6.930\).

Step by step solution

01

Part a. Step 1. Given information

Given,

\(x=3\)

02

Part a. Step 2. Calculation

Find the point estimate for the conditional mean of the response variable corresponding to the predictor variable, \(x=2\) by using MINITAB. MINITAB procedure:

Step 1: Choose Stat > Regression > Regression.

Step 2: In Response, enter the column y.

Step 3: In Predictors, enter the columns X.

Step 4: In Options, enter \(3\) under Prediction interval for new observations

Step 5: In Confidence Level, enter \(95\).

Step 6: In Storage, Choose Fits, Confidence limits, SEs of fits, and Prediction limits.

Step 7: Click OK

MINITAB output: Predicted Values for New Observations

From the MINITAB output, the point estimate for the conditional mean of the response variable corresponding to the predictor variable \(x=3\) is \(2\).

03

Part b. Step 1. Calculation

From the MINITAB output in part (a), the confidence interval for the conditional mean of the response variable corresponding to the predictor variable \(x=3\) is \((-0.013, 4.013)\).

Hence, the confidence interval for the conditional mean is \((-0.013, 4.013)\).

04

Part c. Step 1. Calculation

From the MINITAB output in part (a), the predicted value of the response variable corresponding to the predictor variable \(x=3\) is \(2\)

Hence, the predicted value of the response variable corresponding to the predictor variable \(x=3\) is \(2\).

05

Part d. Step 1. Calculation

From the MINITAB output in part (a), the prediction interval for the conditional mean of the response variable corresponding to the predictor variable \(x=3\) is \((-2.930, 6.930)\)

Hence, \(95%\) prediction interval for the conditional mean is \((-2.930, 6.930)\)

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Most popular questions from this chapter

Gas Guzzelrs. Use the data on the WeissStats site for gas mileage and engine displacement for 121vehicles referred to in Exercise 14.41

a. Decide whether you can reasonably apply the regression t-test. If so, then also do part (b).

b. Decide, at the 5%significance level, whether the data provide sufficient evidence to conclude that the predictor variable is useful for predicting the response variable.

Following are the data on the percentage of investments in energy securities and tax efficiency95%,ฮฑ=0.05 . find and interpret a confidence interval, at the specified confidence level, for the slope of the population regression line that relates the response variable to the predictor variable.

In Exercises 14.98-14.108, use the technology of your choice to do the following tasks.
a. Decide whether you can reasonably apply the conditional mean and predicted value t-interval procedures to the data. If so, then also do parts (b)-(f)
b. Determine and interpret a point estimate for the conditional mean of the response variable corresponding to the specified value of the predictor variable.
c. Find and interpret a 95%confidence interval for the conditional mean of the response variable corresponding to the specified value of the predictor variable.
d. Determine and interpret the predicted value of the response variable corresponding to the specified value of the predictor variable.
e. Find and interpret a 95% prediction interval for the value of the response variable corresponding to the specified value of the predictor variable.
f. Compare and discuss the differences between the confidence inter. val that you obtained in part (c) and the prediction interval that you obtained in part (e).

14.99 U.S. Presidents. The data from Exercise 14.35 for the ages at inauguration and of death of the presidents of the United States are on the WeissStats site. Specified value of the predictor variable: 53 years.

14.25 Plant Emissions. Plants emit gases that trigger the ripening of fruit, attract pollinators, and cue other physiological responses. N. Agelopolous et al. examined factors that affect the emission of volatile compounds by the potato plant Solanum tuberosum and published their findings in the paper "Factors Affecting Volatile Emissions of Intact Potato Plants, Solanum tuberosum: Variability of Quantities and Stability of Ratios" (Journal of Chemical Ecology, Vol. 26(2), pp. 497-511). The volatile compounds analyzed were hydrocarbons used by other plants and animals. Following are data on plant weight (x), in grams, and quantity of volatile compounds emitted (y), in hundreds of nanograms, for 11 potato plants.

we repeat the data and provide the sample regression equations for Exercises a.Determine the standard error of the estimate.

b. Construct a residual plot.

c. Construct a normal probability plot of the residuals.

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